Local area network traffic prediction method based on improved ConvLSTM deep learning model

The invention discloses a local area network link traffic prediction method based on an improved ConvLSTM deep learning model, and relates to the field of network traffic prediction. The method aims at solving the problems that a target network flow prediction method based on a traditional linear mo...

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Bibliographische Detailangaben
Hauptverfasser: LAI JUNYU, CHEN ZHIYONG, YU CHANGJIANG, PI CHANGHONG, ZHU JUNHONG, MA WANYI
Format: Patent
Sprache:chi ; eng
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